MRSeqStudio: MRI Sequence Design and Simulation as a Service in a Free and Open-Source Web Platform

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Authors: Pablo Villacorta-Aylagas, Manuel Rodríguez-Cayetano, Carlos Castillo‐Passi, Pablo Irarrázaval, Federico Simmross‐Wattenberg, Carlos Alberola‐López
Cited by: 0
References: 34

Abstract

Abstract MRI sequence prototyping increasingly relies on graphical design environments and numerical simulators to accelerate development and validation. While several platforms support interactive sequence construction, fully web-based solutions that combine integrated phantom management, high-fidelity Bloch simulation, and scalable multi-user deployment remain limited. We present MRSeqStudio, a web-based platform for interactive MR sequence design and simulation. The tool adopts a block-based representation model with real-time visualization and native JSON/Pulseq export. Simulations are performed using the GPU-enabled Bloch simulator KomaMRI, which enables accurate modeling of arbitrary pulse sequences and phantoms within an installation-free architecture. The system separates front-end interaction from back-end simulation services to support concurrent multi-user access. Sequence validity was assessed by comparing GRE and bSSFP implementations against equivalent sequences designed in mtrk and gammaSTAR. The resulting images showed minimal absolute differences and high mean structural similarity indices (SSIM). Stress testing under burst-request conditions demonstrated stable performance with up to 100 concurrent users on a high-performance desktop deployment. A comparative workflow analysis with mtrk and gammaSTAR further examined differences in representation models, parameter propagation strategies, and integration levels across platforms, highlighting the relative strengths and limitations of each tool. Results indicate that MRSeqStudio provides a reliable and accessible environment for MR sequence prototyping, combining web-native deployment with Bloch-level simulation fidelity and integrated phantom visualization.

Fields of Study & Subjects

Advanced MRI Techniques and Applications Advanced NMR Techniques and Applications Scientific Computing and Data Management

Publication details

Journal / source
Journal of Medical Systems
Publisher
Springer Science and Business Media LLC
Volume
50
Issue
1
Publication date
29 April 2026
Language
EN